v3.0.0

Added

• Feedback collection mechanism for LLM chat responses with positive/negative feedback, feedback categories and reason.
• Support for Bedrock Converse APIs for improved model support.
• Support for all Amazon Bedrock models through the use of model IDs or inference profiles.
• Use case details API to retrieve deployment information.
• Bedrock token usage, stop reason and feedback metrics in CloudWatch dashboard.
• Friendly names and descriptions on model selection UI.
• Streaming support for Agent UseCases.

Changed

• Chat UI with a New/Refreshed look and enhanced error handling.
• Python runtime from 3.12 to Python 3.13.
• Use Case ID to expect a full 36-character UUID.
• Prompt step for Bedrock model provider to require system prompt without {input} and {history} placeholders as a result of switching to Converse APIs. {context} placeholder is still required for RAG use cases.

Fixed

• Bug where documents returned from Bedrock knowledge bases without a title were not properly di